We have a fully funded PhD position in Knowledge Graphs for Conversational AI.
See this page for the project description and application instructions.
Application deadline: April 19, 2020 May 3, 2020.
(Remember to apply specifically for the topic Knowledge Graphs for Conversational AI.)
IAI
Darío Garigliotti defends PhD thesis
Today, Darío Garigliotti has successfully defended his PhD thesis on Task-Based Support in Search Engines. His opponents were Emine Yilmaz (University College London, UK) and Mathias Hagen (Martin Luther University Halle-Wittenberg, Germany).
Congratulations Dr. Garigliotti!
[Thesis]
Paper accepted at EDBT’20
Efficient Continuous Multi-Query Processing over Graph Streams by Lefteris Zervakis, Vinay Setty, Christos Tryfonopoulos, and Katja Hose has been accepted as a full paper at the EDBT conference. [PDF]
TKDE paper on Unsupervised Network Representation Learning
A Comparative Study for Unsupervised Network Representation Learning by Megha Khosla, Vinay Setty, and Avishek Anand has been published in IEEE Transactions on Knowledge and Data Engineering [PDF].
Shuo Zhang defends PhD thesis
Today, Shuo Zhang has successfully defended his PhD thesis on Table Search, Generation and Completion. His opponents were Brian D. Davison (Lehigh University, USA) and Min Zhang, (Tsinghua Universty, China).
Congratulations Dr. Zhang!
[Thesis]
ICTIR’19 contributions
We presented the following papers at ICTIR this year:
- SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection (full paper) by Rahul Mishra and Vinay Setty [PDF]
- Unsupervised Context Retrieval for Long-tail Entities (short paper) by Darío Garigliotti, Dyaa Albakour, Miguel Martinez-Alvarez, and Krisztian Balog [PDF]
Vinay Setty joins IAI
Associate Professor Vinay Setty joins IAI as a faculty member. Vinay works on IR, text mining and machine learning on text with applications to fake news detection and other news mining tasks. In addition, Vinay also works on network representation learning techniques with respect to scalability and applications to news and social media.
Paper accepted at CIKM’19
Auto-completion for Data Cells in Relational Tables by Shuo Zhang and Krisztian Balog has been accepted as a full paper at the CIKM conference. [PDF]
SIGIR’19 Tutorial
Shuo Zhang and Krisztian Balog will give a half-day tutorial at this year’s SIGIR conference on Web Table Extraction, Retrieval and Augmentation.
Meet us at ECIR’19
IAI will be present at ECIR’19 in Cologne:
- Krisztian Balog will give a keynote On Entities and Evaluation
- Jan Trienes will present a full paper entitled Identifying Unclear Questions in Community Question Answering Websites [preprint]
- Trond Linjordet will present a short paper entitled Impact of Training Dataset Size on Neural Answer Selection Models [preprint]